Skill audit report

multi-agent-image Audit report.

Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.

BLOCKED · BLOCKNeeds reviewGenerated Nov 10, 2026Heuristic metadata audit
73
Audit
64
Trust
71
Quality
70
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

64
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

76

568 GitHub stars

Stars/forks activity

INFO

71

568 stars, 94 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

FAIL

36

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add kangarooking/kangarooking-skills --skill multi-agent-image

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

22

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/kangarooking/kangarooking-skills/tree/main/multi-agent-image

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 13 Needs review

Install path

92

PASS

npx skills add kangarooking/kangarooking-skills --skill multi-agent-image

Repository

88

PASS

https://github.com/kangarooking/kangarooking-skills/tree/main/multi-agent-image

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

The skill sends OPENAI_API_KEY to apimart.ai, a third-party endpoint; this should be clearly documented and users should use a dedicated/restricted key.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

36

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

22

FIX

secrets or environment access, shell or command execution

Stars/forks activity

71

CHECK

568 stars, 94 forks; issue activity unavailable in current metadata

Adoption

88

PASS

568 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill sends OPENAI_API_KEY to apimart.ai, a third-party endpoint; this should be clearly documented and users should use a dedicated/restricted key.
  • Several reference agent files (prompt_engineer.md, qa_bot.md) still describe Stable Diffusion-era parameters such as negative prompt, cfg_scale, and sampler, which are not aligned with the current GPT-Image-2 pipeline.
  • SKILL.md does not document error handling, retry/timeout behavior, or failure modes for the external generation API.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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